Application of Remote Sensing Floodplain Vegetation Data in a Dynamic Roughness Distributed Runoff Model

Riparian vegetation reduces the conveyance capacity and increases the likelihood of floods. Studies that consider vegetation in flow modeling rely on unmanned aerial vehicle (UAV) data, which restrict the covered area. In contrast, this study explores advances in remote sensing and machine learning...

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Bibliografiske detaljer

Principais autores:	Andre A. Fortes, Masakazu Hashimoto, Keiko Udo
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-05-01
Serier:	Remote Sensing
Fag:	remote sensing machine learning typhoon Hagibis flood modeling vegetative roughness Manning’s roughness coefficient
Online adgang:	https://www.mdpi.com/2072-4292/17/10/1672
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